On Criticality in High-Dimensional Data.
Saeed SaremiTerrence J. SejnowskiPublished in: Neural Comput. (2014)
Keyphrases
- high dimensional data
- dimensionality reduction
- data sets
- high dimensions
- low dimensional
- nearest neighbor
- high dimensional
- data analysis
- data points
- high dimensionality
- subspace clustering
- similarity search
- data distribution
- input space
- dimension reduction
- high dimensional spaces
- complex data
- sparse representation
- original data
- linear discriminant analysis
- variable selection
- dimensional data
- manifold learning
- input data
- text data
- high dimensional datasets
- high dimensional feature spaces
- clustering high dimensional data
- lower dimensional
- knn
- similarity measure
- high dimensional data sets
- learning algorithm
- intrinsic dimension
- machine learning